• Du betreust Kundenprojekte von Anfang bis Ende • Du entwickelst Softwarelösungen von Front- bis Backend • Du nutzt modernste Technologien und lernst durch verschiedene Projekte die vielen Facetten der .NET- Entwicklung kennen • Du übernimmst Verantwortung und lernst verschiedenste Branchen kennen

• This role focuses on building agentic, AI-powered experiences that help people build computer vision solutions with Roboflow end-to-end, across both in-app experiences and external integrations. • You’ll also contribute to the core product surfaces agents rely on, especially Workflows, our computer vision workflow and pipeline builder, and our Deployments offering in general. • This includes tightening the path from prototype to production by filling in missing functionality and improving reliability, tooling, and discoverability. • You’ll have a lot of freedom to advocate for what should be built next, and you’ll contribute to product and strategy decisions. • If you need a rigid list of tasks spelled out in a multi-month roadmap, this role probably won’t be a good fit.

• Build and maintain scalable systems and infrastructure for deploying and serving ML models. • Design low-latency, fault-tolerant model inference systems using Amazon SageMaker. • Implement safe deployment strategies like blue/green deployments and rollbacks. • Create and manage CI/CD pipelines for ML workflows. • Monitor model performance and system health using AWS observability tools (e.g., CloudWatch). • Develop internal tools and APIs to help ML teams deploy and monitor models easily. • Collaborate with ML engineers, data scientists, and DevOps to productionize new models. • Participate in code reviews, system design, and platform roadmap discussions. • Continuously improve deployment reliability, speed, and usability of the ML platform.

• Design and maintain Node.js/NestJS services for message storage, retrieval, and state sync • Build well-typed REST contracts for Threads and Composer operations • Model and optimize MongoDB/Firestore schemas for high read/write volumes and atomic updates • Implement queues, caching, and rate limiting to handle burst traffic gracefully • Ship modular Vue 3 UIs that consume your APIs efficiently and handle realtime state updates • Instrument logs, metrics, and traces to monitor latency, error rates, and throughput • Maintain high coverage across unit, integration, and contract tests • Participate in on-call, debug incidents, and drive post-mortem action items to closure • Work closely with Product and Frontend leads while reviewing code and supporting junior engineers